Professional certification in Programming

APACHE SPARK AND SCALA TRAINING

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Duration & Study Mode:
Full time, Part-time, Evening and Weekends, Virtual online
Location:
London, Flexible online
Duration: 5 Days / 5 Weeks

Apache Spark is an open-source, high-speed cluster computing solution for analysing enormous amounts of data. Spark is the most comprehensive tool, and many significant corporations have adopted it throughout the world. The Apache Spark and Scala Certification give attendees in-depth information and practical abilities to help them improve their Big Data Spark expertise. During this workshop, participants will learn about Spark and its ecosystem, Spark Streaming, Spark SQL, RDD, and Scala. This course will provide in-depth knowledge of the Scala programming language, YARN, HDFS, Sqoop, Flume, Spark GraphX, and Kafka messaging systems. Participants will receive a certificate if they pass the exam after finishing this session.

Prerequisites

  • There are no prerequisites for this course.
  • Participants are recommended to have a fundamental understanding of Java, databases, query languages, and SQL.

What will you gain after this course

  • Use Scala and Spark applications to work on projects.
  • Learn about Scala classes and how to use them to match patterns.
  • Learn how to use Python, Java, and Scala to create Spark applications.

Jobs you can get
with a Apache Spark and Scala

  • Spark Scala Developer
  • Data Platform Engineer
  • Apache Spark Engineer
  • Big Data Engineer
  • Senior Business Analyst

Corporate Group Training

  • Customized Training
  • Onsite / Virtual
  • Instructor-led Delivery
  • For small to large groups

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Who is this certification for?

  • This course is for students interested in pursuing a career in Big Data.
  • This is for developers who want to advance their career paths.
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Small Groups

With small groups of students, our instructors can work closely with each student.

Schedule
Flexible Class Schedules

Our class schedules are flexible on weekdays, weekend, or evenings to suit your schedule.

Instructors
Experienced Instructors

Our instructors follow a modified are personalized approach to engage students during class

Lab-Facilities
Hi-Tech Lab Facilities

Our students can access our lab facilities anytime for practical experience during and after studies.

Syllabus

  • Why Scala?
  • What is Scala?
  • Introducing Scala
  • Installing Scala
  • Journey – Java to Scala
  • First Dive – Interactive Scala
  • Writing Scala Scripts – Compiling Scala Programs
  • Scala Basics
  • Scala Basic Types
  • Defining Functions
  • IDE for Scala, Scala Community
  • Immutability in Scala – Semicolons
  • Method Declaration, Literals
  • Lists
  • Tuples
  • Options
  • Maps
  • Reserved Words
  • Operators
  • Precedence Rules
  • If statements
  • Scala For Comprehensions
  • While Loops
  • Do-While Loops
  • Conditional Operators
  • Pattern Matching
  • Enumerations
  • Traits Intro – Traits as Mixins
  • Stackable Traits
  • Creating Traits Basic OOPS – Class and Object Basics
  • Scala Constructors
  • Nested Classes
  • Visibility Rules
  • What is Functional Programming?
  • Functional Literals and Closures
  • Recursion
  • Tail Calls
  • Functional Data Structures
  • Implicit Function Parameters
  • Call by Name
  • Call by Value
  • Introduction to Big Data
  • Challenges with Big Data
  • Batch Vs. Real Time Big Data Analytics
  • Batch Analytics – Hadoop Ecosystem Overview
  • Real Time Analytics Options, Streaming Data – Storm
  • In Memory Data – Spark
  • What is Spark?
  • Modes of Spark
  • Spark Installation Demo
  • Overview of Spark on a cluster
  • Spark Standalone Cluster
  • Invoking Spark Shell
  • Loading a File in Shell
  • Performing Some Basic Operations on Files in Spark Shell
  • Building a Spark Project with sbt, Building and Running Spark Project with sbt
  • Caching Overview, Distributed Persistence
  • Spark Streaming Overview
  • Example: Streaming Word Count
  • RDDs
  • Transformations in RDD
  • Actions in RDD
  • Loading Data in RDD
  • Saving Data through RDD
  • What is Shark
  • Installing Shark
  • Running Shark
  • Loading of Data
  • Hive Queries through Spark
  • Testing Tips in Scala
  • Performance Tuning Tips in Spark
  • Shared Variables: Broadcast Variables
  • Shared Variables: Accumulators
  • Spark Streaming Architecture
  • First Spark Streaming Program
  • Transformations in Spark Streaming
  • Fault tolerance in Spark Streaming
  • Checkpointing
  • Parallelism level
  • Classification Algorithm
  • Clustering Algorithm
  • Sequence Mining Algorithm
  • Collbrative filtering
  • Graph analysis with Spark
  • GraphX for graphs
  • Graph-parallel computation
  • Installation of Spark and Scala
  • Discussion of real time use cases using Spark
  • Mini project implementation in Spark

When would you like to start?

Start Date TimingDaysDuration Mode Of TrainingAvailability Reserve Now
07/11/202110:00 – 16:00 Sun Only5 WeeksClassroom / OnlinePlaces available Future Dates/Request Price
14/11/202110:00 – 16:00Sun Only5 WeeksClassroom / OnlinePlaces available Future Dates/Request Price
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07/12/202118:30 – 21:30Tue / Thu5 WeeksClassroom / OnlinePlaces available Future Dates/Request Price
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